About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We're seeking a Security Engineer to join our First-Party Hardware team. In this role, you will own the end-to-end security foundation for OpenAI's first-party AI hardware systems, working across hardware security, embedded security, system security, and practical deployment at data center scale. You will partner with silicon, hardware, firmware, infrastructure, manufacturing, operations, and security teams to define and deliver system-level device trust. This includes boot integrity, device identity, provisioning, attestation, management-plane security, storage encryption, debug controls, firmware update and recovery, RMA, and decommissioning. You will be accountable for turning threat models into requirements, requirements into implementation, and implementation into validation evidence that can support launch decisions. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role, you will: Own security requirements, threat models, validation strategy, and launch-readiness evidence for first-party hardware platforms from early design through production deployment. Design and review secure boot, measured boot, roots of trust, platform firmware resilience, firmware signing, recovery, and anti-rollback strategies across heterogeneous devices. Own device identity, provisioning, enrollment, attestation, certificate lifecycle, and key-management requirements across manufacturing and data center bring-up. Harden management
Jobiba hiring network
Supply Chain Professional Jobs
3,354 active opportunities · Updated for October 2026
Fresh results
15 shown
Explore current supply chain professional jobs. Use filters to narrow by work mode, employment type, experience and date posted.
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a member of the SpaceXSI infrastructure team, you will apply your knowledge, experience, and creativity to help design, build, and activate some of the world’s most technically advanced data centers and AI compute facilities. The Construction and Infrastructure team builds the machine that makes the machine—in this case, the hyperscale facilities that power the world’s most advanced AI systems. Process flow, equipment integration, project planning, and detailed department-level metrics and dashboards all fall under the scope of this role. If you like strategic planning, juggling many different priorities, improving processes, and spending your time in a dynamic, fast-paced work environment, then this team may be for you! This role will report directly to the department head and serve as a key resource org-wide. RESPONSIBILITIES: Develop internal visual standards for internal work boards, JIRA queuing, PowerBI dashboards, and department workflow Support department continuous improvement projects such as new process rollouts/standardization Integrate with all levels of the business to understand current workflows and identify systematic gaps Define and develop d
GAQ327R263 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We are seeking a strategic, operationally strong Director, Travel & Expense to lead and modernize our global travel, expense, and corporate spend ecosystem. This leader will drive a digital-first, highly scalable program that improves the employee experience while strengthening governance, compliance, and financial discipline across a fast-growing global organization. This role is ideal for a builder who can define future-state strategy while also leading hands-on execution, operational rigor, and measurable outcomes. The successful candidate will partner closely across Finance, Procurement, IT, HR, Security, and Operations to create a seamless and future-ready T&E model. The impact you will have: Lead the transformation of the T&E program into a modern, automated, digital-first experience, including AI-enabled workflows, touchless expense processing, automated audit controls, and intelligent policy enforcement. Create a frictionless employee experience across booking, expense submission, approvals, reimbursements, and support while simplifying processes and reducing manual work. Build a scalable global T&E roadmap that balances agility, governance, employee experience, and operational efficiency, with clear KPIs, dashboards, and change management to support adoption. Oversee global business travel operations across air, hotel, ground transportation, meetings, and traveler support, while shaping regional travel strategies for a distributed workforce. Manage travel partners and supplier relationships to improve service levels, optimize spend, and support evolving business needs. Partner with Security and HR to strengthen traveler safety, duty of care, and crisis response capabilities. Lead enterprise expense reimbursement and corporate card programs with a focus on automation, compliance, scalability, and employee exper
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Security Risk team is responsible for how Anthropic identifies, prioritizes, and drives treatment of its most important security risks. We are rebuilding risk management to operate as an engineering function through automation and AI-native platforms to enable decision making. The systems we assess span Anthropic’s full security landscape, from authorization primitives to cryptographic foundations, so the team needs breadth across domains and the ability to go deep in any of them. Security Risk, in deep partnership with Security Engineering, will help define the security program to shape how both engineers and non-engineers build and ship software. The conventional GRC playbook was not built for a company shipping frontier AI. You will help define what replaces it, with a direct line to CISO-level decisions and the mandate to build the AI-native platform underneath. You’ll work across a breadth of areas from identity and secrets management to infrastructure security, with your focus shaped by your strengths, ability to learn quickly, and the team’s priorities. This is largely greenfield work, and you will help define the architecture and discipline. Key responsibilities Take ownership of Anthropic’s most complex security risk problems and drive them end to end with minimal oversight, turning ambiguous signals into a defensible view of severity and likelihood and seeing them through escalation, treatment decisions, and remediation Build the systems that make risk measurable and let risk work scale, including quantification tooling, automated intake and triage, and the observability that partner teams use to understan
Director of Technical Product Marketing Job Description In this role, you will be responsible for leading, planning, developing, driving, and executing RapidFort’s global product marketing strategy. As a leader in the marketing team, you will work very closely with Sales, Product Management, Technical Marketing, Engineering, as well as global partners and customers to ensure timely planning and flawless delivery of product marketing initiatives. These initiatives will support sales enablement, campaigns, global awareness, demand generation, competitive differentiation, and partner growth objectives. If you are passionate about product marketing—and want to be part of a fast-growing, cutting-edge, high-energy team—we want to talk to you. This position reports directly to the CMO. Must have experience marketing cloud-native, Kubernetes, container security, DevSecOps, software supply chain security, or enterprise infrastructure security products. Strong understanding of Kubernetes, Docker/container ecosystems, CI/CD pipelines, software supply chain security, and modern cloud-native architectures is required. Candidates should be comfortable engaging with technical buyers including platform engineers, DevOps teams, security engineers, infrastructure architects, and developer-focused audiences. Ability to translate highly technical concepts into clear business and technical value propositions is essential. Responsibilities Define and drive global product marketing strategy, including value proposition, messaging, customer benefits, and competitive differentiation Lead global product launches, announcements, and integrated marketing campaigns Present at customer executive briefings and industry events Develop sales enablement materials, including playbooks, presentations, and tools Produce corporate press materials and analyst briefing content, including press releases and industry articles Plan, write, edit, and publish content such as eBooks, website copy, blog po
Full-Time | Remote About the Role We are seeking a skilled DevSecOps Engineer to design, deploy, and maintain secure, cloud-native infrastructure supporting Department of War customers. You will work across container platforms, CI/CD pipelines, and government cloud environments to deliver hardened, compliant software systems at scale. This role sits at the intersection of platform engineering, security, and DevSecOps and requires a strong understanding of DoW policies, toolchains, and accreditation processes. Key Responsibilities Design and maintain Kubernetes-based infrastructure, including cluster provisioning, RBAC configuration, network policy, and workload management Package and deploy applications using Helm charts; maintain chart repositories and manage release lifecycle across environments Implement and enforce policy controls using Istio service mesh, OPA Gatekeeper, Kyverno, and related Kubernetes admission controllers Build and maintain CI/CD pipelines using GitLab CI, GitHub Actions, Jenkins, or equivalent tooling; integrate automated security scanning and compliance gates Deploy and operate workloads on AWS GovCloud and Azure Government; architect for high availability, disaster recovery, and cross-region compliance requirements Manage and harden container images; integrate with Iron Bank, Platform One, and other DoW-approved registry sources Configure and maintain observability stacks including Prometheus, Grafana, and Datadog; develop alerting, dashboards, and SLO frameworks Participate in ATO processes, support STIG/CIS compliance scanning, and contribute to System Security Plans (SSPs) and documentation artifacts Collaborate with development, security, and program teams to establish and refine DevSecOps practices across the software delivery lifecycle Support air-gapped and classified environment deployments; design solutions for offline image transfer, registry mirroring, and artifact management Coordinate with government platform teams and managed
WHO ARE WE? We are a bunch of super enthusiastic, passionate, and highly driven people, working to achieve a common goal! We believe that work and the workplace should be joyful and always buzzing with energy! CloudSEK , one of India’s most trusted Cyber security product companies, is on a mission to build the world’s fastest and most reliable AI technology that identifies and resolves digital threats in real-time. The central proposition is leveraging Artificial Intelligence and Machine Learning to create a quick and reliable analysis and alert system that provides rapid detection across multiple internet sources, precise threat analysis, and prompt resolution with minimal human intervention. Founded in 2015, headquartered at Singapore, we are proud to say that we’ve grown at a frenetic pace and have been able to achieve some accolades along the way, including: CloudSEK’s Product Suite: CloudSEK XVigil constantly maps a customer’s digital assets, identifies threats and enriches them with cyber intelligence, and then provides workflows to manage and remediate all identified threats including takedown support. A powerful Attack Surface Monitoring tool that gives visibility and intelligence on customers’ attack surfaces. CloudSEK's BeVigil uses a combination of Mobile, Web, Network and Encryption Scanners to map and protect known and unknown assets. CloudSEK’s Contextual AI SVigil identifies software supply chain risks by monitoring Software, Cloud Services, and third-party dependencies. CloudSEK’s AIVigil is an AI-native Attack Surface Monitoring platform that continuously discovers, monitors, and secures exposed AI infrastructure, MCP servers, leaked AI credentials, vector databases, agentic workflows, and shadow AI across the internet. Key Milestones: 2016 : Launched our first product. 2018 : Secured Pre-series A funding. 2019 : Expanded operations to India, Southeast Asia, and the Americas. 2020 : Won the NASSCOM-DSCI Excellence Award for Security Product Company
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: Value Engineering is responsible for our largest Fortune 500 customers and owns their transformation journey by working on the very frontier of what’s possible with data and AI on the Celonis Platform. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the Celonis Platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly generates strong ROI through deep and broad deployments. The Role: As a Senior Value Engineer, you will spearhead AI and data-driven business transformation within the Public sector by contributing to your customer’s end-to-end value journey using the Celonis Context Model. Working alongside Lead and Principal VEs, you will combine technical execution with consulting and project management. As an AI-fluent operator, your core mandate is to orchestrate complex roadmaps and execute targeted transformation initiatives that improve how these businesses operate across their core ecosystems. The work you’ll do: Value Selling & Realization: Uncover the real issues by peeling back layers of organizational complexity. Own the Outcome from first discovery through realized
Your challenge As a Presales Consultant, you devise engaging industry-specific demos and proofs of concept. You support the Business Development team as an industry advisor during the sales process and work with the Delivery Advisory team on advisory assignments for your industry. You are responsible for: Understanding and researching the competitive differentiators and unique selling points of our targeted industry solutions. Developing, fine-tuning, and managing our unique selling points and storylines for a range of products in one or more of our core industries . Showcasing your solution and industry knowledge at commercial conferences through networking and product demonstrations. Developing a set of industry-specific product demos based on your understanding of their key differentiators. Sharing input and feedback from prospects, customers, and the market at large with the Standard Demo team. Expanding the functionalities of the standard demo in coordination with the Standard Demo team. Engaging and convincing prospects and customers by presenting demos and starting the conversation. Translating customer-specific requirements into high level solution designs in close collaboration with customers and our internal competence centers. Documenting the proposed solution’s scope and project approach. Supporting the advisory team in advisory assignments within your industry. Assisting in the formulation of RFx responses with solution and industry expertise and providing marketing support. Acting as a trusted advisor towards our prospects and customers. About you Essential talents and qualifications: A Master’s or Bachelor’s degree in Operations Research, Mathematics, Programming, Supply Chain, or similar. Knowledge of supply chain planning processes and solutions. Interest in B2B sales. Confident when dealing with complex customer needs and various technology use cases, and the ability to adjust quickly when speaking with prospective clients. A passion for the
About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. Why Customs Matters More Than Ever International trade is under more pressure than ever before. With tariffs, shifting regulations, and geopolitical uncertainty, customs has gone from a back-office function to a boardroom priority. The recent trade crisis—sparked by Trump-era tariffs—has made customs the single most complex challenge for global businesses. For many, it’s the difference between keeping supply chains moving or grinding them to a halt. That’s where we come in. The Customs Technology team at Flexport is leading the charge. We are building the systems that help entrepreneurs and global brands navigate complexity, stay compliant, and keep the world’s goods flowing. The opportunity: Customs brokerage is one of the largest, most under-innovated opportunities in logistics. Legacy customs brokers are stuck with outdated systems and manual processes—they simply can’t adapt fast enough. Flexport is growing fast because we’re different. We are the only big tech company in the space, and the only freight forwarder that got founded after the launch of Netscape. Being a tech company, we can move much faster than our competitors, and give our customers the se
About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco, building Flexport's client-facing rates platform and self-serve freight booking experience from the ground up. We own two of the highest-leverage surfaces in the Client App: how clients see pricing and how they book freight without manual intervention. As a Senior Engineer, you will own significant technical domains end-to-end, not just features, but whole problem spaces. You will drive the engineering of systems that power rate visibility, pricing intelligence, and AI-assisted booking across ocean, air, and trucking. You don't wait to be told what to build next; you identify the highest-leverage problems, propose solutions, and see them through to production. You will be a technical force multiplier on the team: raising the bar on code quality, helping junior engineers grow, and shipping with a velocity and confidence that comes from deep ownership. This is a ground-floor opportunity to build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base—turning the complexity of global trade into a s
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers. Technologies We Use Different backend languages, including Java, Rust, Python and Go Model serving engines for GPU-accelerated inference Docker and Kubernetes for containerization and orchestration Industry-standard build tooling, including Gradle and GitHub Core Responsibilities Building high-performance model serving infrastructure that integrates with security models, hardware constraints, and different inference engines Designing intelligent request handling including authentication, rate limiting, concurrency con
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers. Technologies We Use Different backend languages, including Java, Rust, Python and Go Model serving engines for GPU-accelerated inference Docker and Kubernetes for containerization and orchestration Industry-standard build tooling, including Gradle and GitHub Core Responsibilities Building high-performance model serving infrastructure that integrates with security models, hardware constraints, and different inference engines Designing intelligent request handling including authentication, rate limiting, concurrency con
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers. Technologies We Use Different backend languages, including Java, Rust, Python and Go Model serving engines for GPU-accelerated inference Docker and Kubernetes for containerization and orchestration Industry-standard build tooling, including Gradle and GitHub Core Responsibilities Building high-performance model serving infrastructure that integrates with security models, hardware constraints, and different inference engines Designing intelligent request handling including authentication, rate limiting, concurrency con
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role Verkada’s device security team has an important mission–empower the company to build the safest physical security products in the world. We are directly responsible for the development of important defensive security measures that run on all Verkada devices. We help maintain and expand security testing infrastructure that constantly evaluates devices for security vulnerabilities. And we help the company build stronger and more resilient products through our offensive security evaluation efforts. If you love building scalable systems that have a huge impact, we want to hear from you! What You'll Do Build out and maintain security infrastructure, such as internal tooling to automate device security testing. Design, build, maintain, and scale device security backend systems & tools, such as those that help u
Get new supply chain professional jobs by email
Daily job updates · Unsubscribe anytime